Zhangchi Zhu

11 papers A* 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation. CoRR Minhao Wang, Yunhang He, Cong Xu, Zhangchi Zhu, Wei Zhang
2025	—	`conf`	Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective. KDD (1) Zhangchi Zhu, Wei Zhang
2025	J	`jnl`	Preference-Consistent Knowledge Distillation for Recommender System. IEEE Trans. Knowl. Data Eng. Zhangchi Zhu, Wei Zhang
2025	J	`jnl`	Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems. CoRR Zhangchi Zhu, Wei Zhang
2024	J	`jnl`	Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. CoRR Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang
2024	J	`jnl`	Contrastive Learning with Negative Sampling Correction. CoRR Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024	J	`jnl`	Exploring Feature-based Knowledge Distillation For Recommender System: A Frequency Perspective. CoRR Zhangchi Zhu, Wei Zhang
2024	J	`jnl`	Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation. CoRR Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang
2023	J	`jnl`	From Input to Output: A Multi-layer Knowledge Distillation Framework for Compressing Recommendation Models. CoRR Zhangchi Zhu, Wei Zhang
2023	A*	`conf`	Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023	J	`jnl`	Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang